How fast plants grow worldwide, daily (FluxSat, 0.05°)
What it measures. Daily estimates of how fast plants are growing worldwide (gross primary production, the rate at which vegetation captures carbon), plus uncertainty, on a fine 0.05-degree grid back to 2000.
How it's made. Built from MODIS surface-reflectance data fed into neural network models that were trained against ground-based carbon-measurement towers and scaled up globally.
How & where you'd use it. Helps scientists track the global carbon cycle, ecosystem productivity, and how vegetation responds to climate and seasons.
What's measured
Coverage & cadence
- Time span2000-03-01 → ongoing
- Measured byTerra (MODIS)
- Processing levelLevel 3
- Spatial extent-175, -80, 174.9, 79.9
- StatusACTIVE
What you can do with it
- Track deforestation, fire scars and land-cover change
- Monitor crop and vegetation health (NDVI/EVI)
- Map how built-up vs. green an area is over time
Official description
This dataset provides global gridded daily estimates of gross primary production (GPP) and uncertainties at 0.05 deg latitude by 0.05 deg longitude resolution for the period March 2000 to present. The GPP is derived from MODerate-resolution Imaging Spectroradiometer (MODIS) instruments on NASA Terra and Aqua satellites. GPP is derived using the MODIS Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectances (NBAR) product, which is used as input to neural network models to globally upscale GPP estimated from selected collocated FLUXNET 2015 and OneFlux eddy covariance tower sites used for model training. Version 2.2 is the current version of the dataset. If you have any questions, please read the README document first and post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="FluxSatMGPP_L3_Daily_p05deg",
version="2.2",
bounding_box=(-122.5, 37.2, -121.8, 37.9), # your area (W,S,E,N)
temporal=("2024-01-01", "2024-12-31"), # your dates
)
files = earthaccess.open(results) # stream straight from GES_DISC Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package. Official links
- README Document VIEW RELATED INFORMATION
- Use the Earthdata Search to find and retrieve data sets across multiple data centers. GET DATA
- Access the data via the OPeNDAP protocol. USE SERVICE API
- Documentation with step-by-step instructions on accessing and reading data at GES DISC VIEW RELATED INFORMATION